test_local.py

#!/usr/bin/env python3
"""

Local testing script for Translation AI Agent

Test functionality before deploying to HuggingFace Spaces

"""

import os
import sys
import time
import tempfile
import numpy as np
import soundfile as sf
from pathlib import Path

# Add current directory to path
sys.path.insert(0, os.path.dirname(__file__))

def test_imports():
    """Test if all required packages can be imported"""
    print("🔍 Testing imports...")
    
    packages = [
        "gradio", "torch", "transformers", "librosa", 
        "soundfile", "numpy", "scipy"
    ]
    
    missing_packages = []
    
    for package in packages:
        try:
            __import__(package)
            print(f"  ✅ {package}")
        except ImportError:
            print(f"  ❌ {package}")
            missing_packages.append(package)
    
    if missing_packages:
        print(f"\n⚠️  Missing packages: {', '.join(missing_packages)}")
        print("Install with: pip install -r requirements.txt")
        return False
    
    print("✅ All imports successful!")
    return True

def test_config():
    """Test configuration loading"""
    print("\n⚙️ Testing configuration...")
    
    try:
        from config import config
        
        print(f"  ✅ Supported languages: {len(config.SUPPORTED_LANGUAGES)}")
        print(f"  ✅ Translation model: {config.TRANSLATION_MODEL}")
        print(f"  ✅ Speech model: {config.SPEECH_RECOGNITION_MODEL}")
        print(f"  ✅ TTS model: {config.TEXT_TO_SPEECH_MODEL}")
        
        # Test language validation
        assert config.validate_language("en")
        assert config.validate_language("es")
        assert not config.validate_language("xyz")
        
        print("✅ Configuration test passed!")
        return True
        
    except Exception as e:
        print(f"❌ Configuration test failed: {e}")
        return False

def test_utils():
    """Test utility functions"""
    print("\n🛠️ Testing utilities...")
    
    try:
        from utils import AudioProcessor, LanguageDetector, FileManager
        from config import config
        
        # Test audio processor
        processor = AudioProcessor()
        
        # Create test audio
        duration = 1.0
        sample_rate = 16000
        audio_data = 0.3 * np.sin(2 * np.pi * 440 * np.linspace(0, duration, int(sample_rate * duration), False))
        
        temp_file = tempfile.NamedTemporaryFile(suffix='.wav', delete=False)
        sf.write(temp_file.name, audio_data, sample_rate)
        temp_file.close()
        
        # Test loading audio
        loaded_audio, sr = processor.load_audio(temp_file.name)
        assert len(loaded_audio) > 0
        assert sr == 16000
        
        # Test duration
        duration_calculated = processor.get_audio_duration(temp_file.name)
        assert abs(duration_calculated - duration) < 0.1
        
        # Test validation
        assert processor.validate_audio_file(temp_file.name)
        
        # Cleanup
        os.unlink(temp_file.name)
        
        # Test language detector
        detector = LanguageDetector(config.LANGUAGE_KEYWORDS)
        
        detected = detector.detect("Hello world how are you")
        assert detected == "en"
        
        detected = detector.detect("Hola mundo como estas")
        assert detected == "es"
        
        print("✅ Utilities test passed!")
        return True
        
    except Exception as e:
        print(f"❌ Utilities test failed: {e}")
        return False

def test_ai_agent():
    """Test AI Agent functionality"""
    print("\n🤖 Testing AI Agent...")
    
    try:
        from hf_translation_ai_agent.app_old import TranslationAIAgent
        
        agent = TranslationAIAgent()
        
        # Test text translation (will be mock if models not loaded)
        print("  Testing text translation...")
        result = agent.translate_text("Hello world", "en", "es")
        assert result is not None
        assert len(result) > 0
        print(f"  ✅ Translation: 'Hello world' → '{result}'")
        
        # Test language detection
        print("  Testing language detection...")
        detected = agent.detect_language("Hello how are you today")
        assert detected in agent.supported_languages
        print(f"  ✅ Language detection: 'Hello...' → '{detected}'")
        
        # Test audio processing (mock)
        print("  Testing audio processing...")
        
        # Create test audio file
        duration = 2.0
        sample_rate = 16000
        audio_data = 0.1 * np.sin(2 * np.pi * 440 * np.linspace(0, duration, int(sample_rate * duration), False))
        
        temp_file = tempfile.NamedTemporaryFile(suffix='.wav', delete=False)
        sf.write(temp_file.name, audio_data, sample_rate)
        temp_file.close()
        
        # Test speech to text
        transcription = agent.speech_to_text(temp_file.name, "en")
        assert transcription is not None
        print(f"  ✅ Speech-to-text: '{transcription[:50]}...'")
        
        # Test text to speech
        tts_path = agent.text_to_speech("Hello world", "en")
        if tts_path:
            assert os.path.exists(tts_path)
            print(f"  ✅ Text-to-speech: generated {tts_path}")
            
            # Cleanup TTS output
            os.unlink(tts_path)
        
        # Cleanup test audio
        os.unlink(temp_file.name)
        
        # Test translation history
        history = agent.get_translation_history()
        assert isinstance(history, list)
        print(f"  ✅ Translation history: {len(history)} entries")
        
        print("✅ AI Agent test passed!")
        return True
        
    except Exception as e:
        print(f"❌ AI Agent test failed: {e}")
        import traceback
        traceback.print_exc()
        return False

def test_gradio_app():
    """Test Gradio app creation"""
    print("\n🖥️ Testing Gradio app...")
    
    try:
        import gradio as gr
        
        # Test basic Gradio functionality
        def dummy_function(text):
            return f"Processed: {text}"
        
        # Create simple interface
        interface = gr.Interface(
            fn=dummy_function,
            inputs=gr.Textbox(label="Input"),
            outputs=gr.Textbox(label="Output"),
            title="Test Interface"
        )
        
        assert interface is not None
        print("  ✅ Basic Gradio interface created")
        
        # Test our app import (without launching)
        try:
            # Import app but don't run it
            import hf_translation_ai_agent.app_old as app_old
            print("  ✅ Main app imported successfully")
        except Exception as e:
            print(f"  ⚠️  App import warning: {e}")
        
        print("✅ Gradio app test passed!")
        return True
        
    except Exception as e:
        print(f"❌ Gradio app test failed: {e}")
        return False

def test_deployment_readiness():
    """Test deployment readiness"""
    print("\n🚀 Testing deployment readiness...")
    
    required_files = [
        "app.py",
        "requirements.txt", 
        "config.py",
        "utils.py",
        "README.md",
        "Dockerfile"
    ]
    
    missing_files = []
    for file in required_files:
        if not os.path.exists(file):
            missing_files.append(file)
        else:
            print(f"  ✅ {file}")
    
    if missing_files:
        print(f"  ❌ Missing files: {', '.join(missing_files)}")
        return False
    
    # Check requirements.txt format
    try:
        with open("requirements.txt", "r") as f:
            requirements = f.read()
            assert "gradio" in requirements
            assert "torch" in requirements
            assert "transformers" in requirements
        print("  ✅ requirements.txt format valid")
    except Exception as e:
        print(f"  ❌ requirements.txt issue: {e}")
        return False
    
    # Check app.py has main execution
    try:
        with open("app.py", "r") as f:
            content = f.read()
            assert "if __name__ == \"__main__\":" in content
            assert "demo.launch" in content
        print("  ✅ app.py has proper launch code")
    except Exception as e:
        print(f"  ❌ app.py issue: {e}")
        return False
    
    print("✅ Deployment readiness test passed!")
    return True

def run_all_tests():
    """Run all tests"""
    print("🧪 Translation AI Agent - Local Testing")
    print("=" * 60)
    
    tests = [
        ("Imports", test_imports),
        ("Configuration", test_config),
        ("Utilities", test_utils),
        ("AI Agent", test_ai_agent),
        ("Gradio App", test_gradio_app),
        ("Deployment Readiness", test_deployment_readiness)
    ]
    
    results = {}
    
    for test_name, test_func in tests:
        try:
            results[test_name] = test_func()
        except Exception as e:
            print(f"❌ {test_name} test crashed: {e}")
            results[test_name] = False
    
    # Summary
    print("\n" + "=" * 60)
    print("📊 TEST SUMMARY")
    print("=" * 60)
    
    passed = sum(results.values())
    total = len(results)
    
    for test_name, result in results.items():
        status = "✅ PASS" if result else "❌ FAIL"
        print(f"  {status} {test_name}")
    
    print(f"\n📈 Results: {passed}/{total} tests passed")
    
    if passed == total:
        print("🎉 All tests passed! Ready for deployment!")
        print("\n🚀 Next steps:")
        print("  1. Create HuggingFace account")
        print("  2. Create new Space with Gradio SDK")
        print("  3. Upload files: app.py, requirements.txt, README.md")
        print("  4. Set Hardware to GPU Basic (recommended)")
        print("  5. Make Space public and enjoy!")
    else:
        print("⚠️  Some tests failed. Please fix issues before deployment.")
        return False
    
    return True

def show_system_info():
    """Show system information"""
    print("💻 System Information")
    print("=" * 30)
    
    # Python version
    print(f"🐍 Python: {sys.version.split()[0]}")
    
    # Platform
    import platform
    print(f"💻 Platform: {platform.system()} {platform.release()}")
    
    # Memory info (if available)
    try:
        import psutil
        memory = psutil.virtual_memory()
        print(f"💾 RAM: {memory.total // (1024**3)}GB total, {memory.available // (1024**3)}GB available")
    except ImportError:
        print("💾 RAM: psutil not available")
    
    # GPU info
    try:
        import torch
        if torch.cuda.is_available():
            gpu_count = torch.cuda.device_count()
            print(f"🎮 GPU: {gpu_count} CUDA device(s) available")
            for i in range(gpu_count):
                gpu_name = torch.cuda.get_device_name(i)
                memory_gb = torch.cuda.get_device_properties(i).total_memory // (1024**3)
                print(f"     Device {i}: {gpu_name} ({memory_gb}GB)")
        else:
            print("🎮 GPU: No CUDA devices available")
    except ImportError:
        print("🎮 GPU: PyTorch not available")
    
    print()

if __name__ == "__main__":
    show_system_info()
    success = run_all_tests()
    
    if success:
        print("\n🤔 Want to run examples? Execute:")
        print("   python examples.py")
        print("\n🚀 Ready to launch locally? Execute:")
        print("   python app.py")
    
    sys.exit(0 if success else 1)